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The influence of big data-enabled price discrimination on tourists’ continuance usage intention to mobile applications

A technology threat avoidance perspective

Bibliographic Data

ID21699342
AuthorsYuanyuan Shang (0000-0002-3538-7730, Hainan University), Fangxuan Li (0000-0002-5342-3766, Hainan University, corresponding author), Qianqian Su (0000-0002-4269-6718, Hainan University)
Year2023
Volume26
Issue19
Pages3209-3230
Publication date2023-10-02
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueCurrent Issues in Tourism (JOURNAL)
Journal identifiersISSN: 1368-3500 • E-ISSN: 1747-7603
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/13683500.2022.2111297
OpenAlexW4292169157
LanguageEN
Citations received5
References cited109

Though an increasing number of tourists are experiencing big data-enabled price discrimination, the influence of big data-enabled price discrimination on tourists’ continuance usage intention to mobile applications has been largely ignored by existing literature. This is the very first attempt to explore this research topic. Specifically, this paper aims to explore the influence of big data-enabled price discrimination on tourists’ continuance usage intention to mobile applications by extending the technology threat avoidance theory (TTAT). One thousand and two valid questionnaires were collected based on purposive and snowball sampling. Structural equation modelling (SEM) method was used to test the proposed the research model. The findings indicated that both perceived price fairness, threat appraisal, and perceived deception have significant impacts on tourists’ countenance usage intention to the mobile applications after experiencing big data-enabled price discrimination. Threat appraisal was also found to significantly influence avoidance intention and emotion-focused coping. Moreover, this study revealed that avoidance intention significantly impacts emotion-focused coping, while avoidance intention does not significantly influence tourists’ countenance usage intention. Importantly, perceived switching cost moderates two relationships: threat appraisal-continuance usage intention and perceived deception-continuance usage intention. In addition to the theoretical contribution, practical implications are also discussed

Advertising · Appraisal theory · Big data · Business · Continuance · Deception · Nonprobability sampling · Snowball sampling · Sociology · Structural equation modeling · Computer Science · Consumer Behavior in Brand Consumption and Identification · Digital Marketing and Social Media · Psychology · Social Psychology · Technology Adoption and User Behaviour · Marketing

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Unique citing works5
Citations per year2,5
Citation span2024 - 2026 (3)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 5

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